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Bayesian thinking is reshaping AI decision-making

From smarter hypothesis testing with e-values to AI systems that model emotions, Bayesian methods and probabilistic reasoning are transforming how machines—and humans—make decisions under uncertainty.
IEEE

Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent

Abstract: A crucial task in predictive maintenance is estimating the remaining useful life of physical systems. In the last decade, deep learning has improved considerably upon traditional model-based ...
AZoRobotics

Machine Learning Models Predict Stroke Risk in Atrial Fibrillation

Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...
VnExpress International on MSN

Meet renowned US-based statistics and computer science expert who joins Fields Medalist Ngo Bao Chau to mentor Vietnamese math talents

Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United ...
IEEE

GPT-Augmented Bayesian Reinforcement Learning Framework for Multiobjective Supplier Selection

Abstract: In today’s volatile geopolitical environment and heightened emphasis on sustainability, effective supplier selection must simultaneously handle cost, delivery risks, and environmental + ...